[1]} present a dataset that consists of 200K QA sessions for the task of Complex Sequence Question Answering (CSQA). Figure REF  shows a sample conversational QA session from the dataset. The session contains a sequence of questions.
Some are simple questions that can be answered from a single subject-relation-object triple in the knowledge graph, such as the question in T1.
Some are complex questions that require logical, comparative and quantitative reasoning over a larger sub-graph of the knowledge graph, such as the questions in T4 and T5.
We also note some characteristics of a conversation session. All question-answer pairs in the same session are related, and the session contains typical elements of a dialog such as co-reference, ellipses, clarifications, and confirmations.
